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TITLE

Head of Data Science - Freight

COMPANY

Uber

LOCATION

San Francisco, CA, US

Description

About Uber

We’re changing the way people think about transportation. Not that long ago we were just an app to request premium black cars in a few metropolitan areas. Now we’re a part of the logistical fabric of more than 600 cities around the world. Whether it’s a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.

For the people who drive with Uber, our app represents a flexible new way to earn money. For cities, we help strengthen local economies, improve access to transportation, and make streets safer.

And that’s just what we’re doing today. We’re thinking about the future, too. With teams working on autonomous trucking and self-driving cars, we’re in for the long haul. We’re reimagining how people and things move from one place to the next.

About the Role

You’ll help articulate and execute toward a vision that effectively combines advances in data science with engineering, product and analytics to make a huge impact on the Freight and Logistics Industry. The Uber Freight team is a year old, so you’ll be coming into a role where you’ll have the opportunity to own your products all the way from ideation through maturity, and you’ll be able to build an organization as you see fit.

What You'll Do

Lead a team of talented data scientists solving a variety of mathematical problems
Own end-to-end data science projects from the discovery & exploration phase through to implementation into mission critical systems
Maintain a balance between building principled, mathematically rigorous solutions and shipping things quickly
Use your models to influence business decisions across the business and gain support from stakeholders
Communicate data science models and results to a range of stakeholders and executive team, incorporate their feedback to ensure our models have the best impacts on the business
Mentor and guide the professional and technical development of your team members
Work with Engineering Managers and Product Managers to maintain a prioritized backlog and create short term and long term goals

What You'll Need

M.S. or Ph.D. in Statistics, Operations Research, Mathematics or other quantitative field
Minimum 10 years of hands-on technical or research experience
Minimum 3 years data science leadership experience and experience managing data science teams
Experience supporting the analytics needs of all business functions (operations, product, research and development)
Domain expertise in operations driven organizations, including but not limited to: logistics, transportation, supply chain management, or freight
Demonstrable domain expertise in product metric identification, improving data quality, A/B testing, and experimentation design and execution
Demonstrated expertise in strategic analysis to impact decisions
Familiarity with technical tools for analysis - Python (with Pandas, etc.), R, SQL/HiveQL/Presto. Demonstrable familiarity (work experience, Github account) with programming concepts. Go or Python skills and previous software engineering background a plus
Excellent communication skills - you can articulate experiment goals and methodologies clearly and communicate insights in an easily accessible way to the team
Driven and focused self-starters, great communicators, amazing follow-through - you enthusiastically tackle your work and love the responsibility of being individually empowered
Scrappy, Entrepreneurial mindset - you’re comfortable making do with what you have and building toward the future

Trucks move everything you buy, why shouldn’t booking a truck be as seamless as booking an Uber?

Uber Freight connects shippers with truckers, much like the way the Uber connects riders and drivers. The Uber Freight team believes that empowering truck drivers will bring more open, efficient, and increasingly safer transportation to our roads. We are a team of sharp, entrepreneurial individuals who are redefining the movement of goods around the world. We are currently looking for candidates to join our growing team who share our enthusiasm for tackling today’s toughest challenges in transportation.